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Sessions & Content

This session goes beyond the classical star schema modeling, exploring new techniques to model data with Power Pivot and SSAS Tabular. You will see how brute-force power in DAX allows different data models than those used in SSAS Multidimensional

This session targets SSAS developers that are already dealing with complex security solutions on a regular basis and want to get more insights on what actually happens inside SSAS when the different kinds of security are applied to their model.

In this session we'll look at the structure and basics of MDX, the Multi Dimensional query eXpression language for querying Analysis Services OLAP cubes. We'll start at the beginning, so no previous experience necessary.

In this session, we will analyze the way DAX solves filtering. Starting from simple queries, we will follow the steps DAX does with the filter context, discovering the internals of the query engine of DAX.

Processing of SSAS OLAP databases can be a tricky business, particularly when it comes to incremental processing of dimensions. John will give you real life examples of why certain approaches work and others do not.

In this session, we are going to explain and test different DW features in SQL Server 2012, including star join optimization through bitmap filters, table partitioning, window functions, columnstore indices and more.

In this session we'll understand the best practices of using this new technology. What exactly is it good for? When to use it and when NOT to?
Migration, Security, Administration and other tips and tricks.

The Microsoft BI stack has a number of tools for data visualization - Excel, Power View, native Reporting Services, and Performance Point. Come see each visualization applied to the new tabular model in Analysis Services.

Users love flexible analytics but hate to wait for the data to be loaded into a traditional data warehouse. John will describe how to build an infrastructure to support real-time loading of your OLAP cubes so your user's get exactly what they want

Most of us use Excel in our Daily work, but are you familiar with the Business Intelligence features in Excel? In this session we'll look at some of the most common and useful BI features in Excel 2010 and discuss limitations and best practices.

In this session you will see how to create a BISM Tabular data model from scratch, providing the required metadata in order to improve user experience navigating the data model by using client tools like Excel PivotTable and Power View.

This session will do a brief overview of Analysis Services 2012 performance topics, and drill into some common methods for investigating performance issues. The talk will be adjusted based on the audience interests.

Snapshots without snapshots...is that possible? Take a "Classic" snapshot fact table, add some temporal data theory and you'll get a new fact table than can store snapshot data without doing snapshots. A life saver when you have a lot of data.

Reporting Services is a powerful tool that can make designing reports a snap...most of the time. Design format starts with your report query. Take your queries to the next level with MDX concepts to conquer the trickiest report layouts.

SQL Server Code Name Denali Reporting Services will include Project Crescent for visualizing, interacting with and presenting data. Project Crescent. Come to this session to see how to make the most of this new tool.

Master Data Services has been given an overhaul in Denali, including a new Excel add-in and modified web front-end. Come to this session to see how MDS can be used to give greater control and process to your BI/DW dimension management.

This talk looks at MDX and DAX, examining their similarities and differences. It won’t turn you into an expert in either but it will help you to decide, given your particular career plans, if either or both are worth learning.

In this session we will introduce the new modeling capabilities of Vertipaq, showing how the same scenarios can be modeled in both Multidimensional (MOLAP) and Tabular (Vertipaq), looking at how to enable your data warehouse to support both.

With Excel 2010 it is finally possible to modify data in a SSAS cube, without using any macros or third party add-ins. This opens for a lot of common business scenarios like budgeting and planning directly from Excel 2010.

This session will show how to use DMVs (data management views) to query the OLAP cube structure, and then use SSRS to create a set of interactive reports including the BUS matrix, and using spatial data to generate automated star schemas.

The Microsoft SQL Server provides a complete library of programmatically accessed objects for all Business Intelligence relevant services. With this set of functions almost any customer challenge can be solved without the need to purchase additional products. This possibility is often underestimated in projects. The session will explain the hidden power of using the Microsoft APIs to build BI middleware solutions for enterprise customers.

This session will investigate using Stream Insight, SQL Server and Analysis Services to provide an example framework to monitor cube usage as well as suggest a mechanism for highlighting areas for performance and security enhancements.

MDX Studio can be used to analyze complex MDX expressions, monitor performance characteristics of MDX queries and get insight into how MDX interacts with other UDM features such as attribute relationships.

A step-by-step demo on BIDS of how to build an SSAS cube (DB) from an operational system (normalized database) such as Operational Data Store (ODS) or directly from the transactional business system, without building a star/snowflake schema Data Warehouse/Mart first.

This session will introduce you to the core components required to set up and create a cube in SQL Server Analysis services. consideration is given to SQL Server 2005 and SQL Server 2008
to be considered for Friday

John will introduce you to Analysis Services 2008, demonstrate browsing cubes with Excel 2007, deploying dashboards in SharePoint built using Excel Services and demonstrate how PerformancePoint Services can add the glitz to your BI project.

Among many of its functions, MDX language has one special set function - Axis() function. That function allows creation of calculated measures that are context aware and, if wanted, don't need to refer to any dimension or hierarchy in the cube. In other words, such measures are universal or independant, which means they can be used in any MDX query.
In this session we will present such measures and explain how they work. We'll also show the way how to design them for various scenarios and discuss their potentials and weaknesses.
Previous experience in writing MDX queries is recommended.